Summary
Tomasz Klonecki is a Senior Data Scientist based in Warsaw with eight years of hands-on experience building and deploying ML models across finance and e-commerce. He combines a strong mathematical background (Engineer’s in Applied Mathematics, MSc in Data Science) with ongoing PhD research at the Institute of Computer Science, Polish Academy of Sciences, bringing rigorous statistical thinking to production problems. At Allegro he progressed from Data Scientist to Senior Data Scientist, driving model development and validation at scale, and previously honed ML operations and web-scraping skills in trading and banking contexts. His toolset spans Python, PySpark, SQL, Git and CI tooling, with daily experience administering ML servers and working with big data stacks. Known for bridging research and production, he routinely applies Monte Carlo methods and deep learning techniques to real-world risk and segmentation challenges. Fluent in turning complex data into actionable systems, he favors reproducible workflows and automated model delivery.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Institute of Computer Science Polish Accademy of Sciences
Engineer's degree Applied Mathematics, Engineer's degree Applied Mathematics at Wrocław University of Science and Technology
Master's degree Data Science, Master's degree Data Science at Warsaw University of Technology
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Universidade de Coimbra
Polish, English, German